Should Data Scientists Care About Quantum Computing?
[ad_1] I am sure the quantum hype has reached every person in tech (and outside it, most probably). With some ...
Read more
Method of Moments Estimation with Python Code
[ad_1] Let’s say you are in a customer care center, and you would like to know the probability distribution of ...
Read more
Build a Decision Tree in Polars from Scratch
[ad_1] Decision Tree algorithms have always fascinated me. They are easy to implement and achieve good results on various classification ...
Read more
Data vs. Business Strategy | Towards Data Science
[ad_1] There seems to be a consensus that leveraging data, analytics, and AI to create a data-driven organization requires a ...
Read more
Six Ways to Control Style and Content in Diffusion Models
[ad_1] Stable Diffusion 1.5/2.0/2.1/XL 1.0, DALL-E, Imagen… In the past years, Diffusion Models have showcased stunning quality in image generation. ...
Read more
The Method of Moments Estimator for Gaussian Mixture Models
[ad_1] Audio Processing is one of the most important application domains of digital signal processing (DSP) and machine learning. Modeling ...
Read more
Synthetic Data Generation with LLMs
[ad_1] Popularity of RAG Over the past two years while working with financial firms, I’ve observed firsthand how they identify ...
Read more
I Tried Making my Own (Bad) LLM Benchmark to Cheat in Escape Rooms
[ad_1] Recently, DeepSeek announced their latest model, R1, and article after article came out praising its performance relative to cost, ...
Read more
Triangle Forecasting: Why Traditional Impact Estimates Are Inflated (And How to Fix Them)
[ad_1] Accurate impact estimations can make or break your business case. Yet, despite its importance, most teams use oversimplified calculations ...
Read more
The Gamma Hurdle Distribution | Towards Data Science
[ad_1] Which Outcome Matters? Here is a common scenario : An A/B test was conducted, where a random sample of ...
Read more
